DocumentCode :
1751887
Title :
Statistical approach to discrete-time chaotic systems: advanced tools for quantized chaotic trajectories
Author :
Mazzini, Gianiuca ; Rovatti, Riccardo ; Setti, Gianluca
fYear :
2001
fDate :
2001
Abstract :
Classical tools for statistical analysis of chaotic maps can be generalized to express any-order joint probability of the state and thus any-order correlation functions of the trajectories. When trajectories are quantized correlations can be naturally expressed as combinations of tensors. These expressions feature noteworthy properties when,. piecewise-affine Markov maps are considered. The class of (n,t)-tailed shifts spans the range of maps producing exponentially vanishing correlation and allows the derivation of an analytical expression for any-order quantized correlation functions
Keywords :
Markov processes; chaos; correlation theory; discrete time systems; piecewise linear techniques; probability; statistical analysis; tensors; any-order joint probability; any-order quantized correlation functions; chaotic maps; discrete-time chaotic systems; exponentially vanishing correlation; piecewise-affine Markov maps; statistical analysis; tensors; trajectories; Chaos;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2001. Tutorial Guide: ISCAS 2001. The IEEE International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7113-5
Type :
conf
DOI :
10.1109/TUTCAS.2001.946974
Filename :
946974
Link To Document :
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